End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5990
-- Matthews Correlation: 0.5548
+- Loss: 0.4792
+- Matthews Correlation: 0.5264
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5161        | 1.0   | 535  | 0.4581          | 0.4439               |
-| 0.3432        | 2.0   | 1070 | 0.4606          | 0.5452               |
-| 0.231         | 3.0   | 1605 | 0.5990          | 0.5548               |
-| 0.1777        | 4.0   | 2140 | 0.7708          | 0.5346               |
-| 0.1218        | 5.0   | 2675 | 0.8178          | 0.5388               |
+| 0.5186        | 1.0   | 535  | 0.4551          | 0.4470               |
+| 0.3417        | 2.0   | 1070 | 0.4792          | 0.5264               |
+| 0.2302        | 3.0   | 1605 | 0.6193          | 0.5031               |
+| 0.1788        | 4.0   | 2140 | 0.7983          | 0.5129               |
+| 0.1282        | 5.0   | 2675 | 0.8237          | 0.5192               |
 
 
 ### Framework versions
 
-- Transformers 4.38.1
+- Transformers 4.38.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.17.1
+- Datasets 2.18.0
 - Tokenizers 0.15.2

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